4D MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect 4D through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using 4D, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 4D MCP Server
Bridge your 4D Server with the world of AI Agents through the power of ORDA (Object Relational Data Architecture). This integration transforms your 4D database into an intelligent, queryable knowledge base, allowing your AI agent to explore structures and manage records through natural conversation. No more manual REST calls; your agent can now audit catalogs, run complex entity queries, and perform high-speed CRUD operations, ensuring your 4D data is always accessible and actionable within your AI workflows.
The Vercel AI SDK gives every 4D tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Database Exploration — Retrieve the full catalog of DataClasses (tables) and their attribute definitions (fields) to map your data structure.
- Advanced Querying — Perform complex data lookups using filters, ordering, and expansion of related entities with ORDA syntax.
- CRUD Operations — Create, read, update, and delete records across any exposed DataClass in your 4D environment.
- Metadata Insights — Check server information, version, and database structure on the fly to ensure system integrity.
- Structured Access — Interact with your data using the modern ORDA model, ensuring consistency, type safety, and security.
The 4D MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect 4D to Vercel AI SDK via MCP
Follow these steps to integrate the 4D MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from 4D and passes them to the LLM
Why Use Vercel AI SDK with the 4D MCP Server
Vercel AI SDK provides unique advantages when paired with 4D through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same 4D integration everywhere
Built-in streaming UI primitives let you display 4D tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
4D + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the 4D MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query 4D in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate 4D tools and return structured JSON responses to any frontend
Chatbots with tool use: embed 4D capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with 4D through natural language queries
4D MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect 4D to Vercel AI SDK via MCP:
create_entity
Requires a JSON string representation of the data payload. Create a new record in the database
delete_entity
Delete a record from the database
get_catalog
Retrieve the database catalog definition
get_entity
Get a specific record by primary key
list_entities
Supports ORDA-style query parameters like $filter and $orderby for advanced lookups. Query records from a specific DataClass (table)
update_entity
Requires a JSON string payload. Update an existing record in the database
Example Prompts for 4D in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with 4D immediately.
"Show me the first 5 records from the 'Invoices' table."
"What tables (DataClasses) are exposed in my 4D catalog?"
"Create a new record in the 'Customers' table for 'John Doe' with email 'john@example.com'."
Troubleshooting 4D MCP Server with Vercel AI SDK
Common issues when connecting 4D to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcp4D + Vercel AI SDK FAQ
Common questions about integrating 4D MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect 4D with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect 4D to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.